Mid/Senior Data Scientist - Optimization & Generative AI

LC Waikiki; Fatih; Hybrid; TRY 450,000 - 750,000; Full time

Benefits offered by this job

Discounts on LC Waikiki products

Hybrid work option

Job summary

LC Waikiki's Digital Transformation and IT Department in Istanbul is seeking a Mid/Senior Data Scientist focused on optimization and Generative AI. You will lead end-to-end data science and operations research initiatives to enhance supply chain, workforce planning, and customer experience.

You will collaborate with business, logistics, planning, and technology teams, design predictive and optimization models, and apply LP, MIP, CP methods.

Qualifications

• Minimum of 2 years of experience in Data Science, OR-Tools, or optimization roles.
• Strong Python proficiency and SQL skills.
• Experience with LLMs, RAG, and AI systems in production.
• Experience deploying analytics in production environments on cloud platforms.
• Ability to translate complex analytics into business impact.

Responsibilities

• Lead design, development, and deployment of optimization and AI-driven solutions.
• Drive end-to-end data science and operations research projects.
• Collaborate with cross-functional teams across logistics, planning, and technology.
• Mentor junior data scientists and foster knowledge sharing.
• Translate insights into actionable business recommendations for senior leadership.

Skills

Python

Optimization

Machine Learning

SQL

Communication

Tools

OR-Tools

Gurobi

CPLEX

Pyomo

PuLP

Cloud Platforms (GCP/AWS/Azure)

Job description

Are You Ready to Join LC Waikiki's Digital Transformation Journey?

With over e-commerce operations in 14 countries, 1300 stores worldwide and a strong presence in 60 countries, we embark on a great journey embracing the philosophy that "Everyone Deserves to Dress Well." Beyond the world of fashion, we are also pursuing significant goals in technology and digital transformation. At LC Waikiki's Digital Transformation and IT Department, we're shaping the future with over 850 experts, focusing on innovation and collaboration. Using Agile/Scrum methodologies, we strive to become a more efficient and dynamic team every day.

We are looking for Mid/Senior Data Scientist - Optimization & Generative AI

What We Offer:

Our projects touch not only the retail world but also every corner of the digital realm. If you're excited to be part of this journey, here are the opportunities awaiting you:

Project Leadership and Delivery:

• Lead the design, development, and deployment of optimization and decision-support solutions to improve business performance and operational efficiency.
• Manage end-to-end delivery of data science and operations research projects, ensuring timely completion and measurable business impact.
• Collaborate with business, logistics, supply chain, planning, and technology teams to identify optimization opportunities and translate them into analytical solutions.

Optimization Modeling and Advanced Analytics

• Develop and implement optimization models for supply chain, logistics, workforce planning, inventory management, replenishment, transportation, scheduling, routing, and resource allocation problems.
• Design and develop predictive models including demand forecasting, anomaly detection, and operational performance prediction.
• Apply Operations Research techniques such as Linear Programming (LP), Mixed Integer Programming (MIP), Constraint Programming (CP), Network Optimization, and Heuristic/Metaheuristic approaches.
• Develop simulation models and digital decision-support systems to evaluate operational scenarios.
• Design and track optimization and machine learning experiments and establish robust validation strategies.

Generative AI and Intelligent Decision Systems

• Explore and develop AI-powered decision support solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures.
• Design AI assistants that help business users interact with optimization models, operational data, and analytical insights through natural language interfaces.
• Evaluate and adopt emerging AI technologies to improve business processes and decision-making capabilities.

Stakeholder Management:

• Translate complex optimization models and analytical outputs into actionable business recommendations.
• Prepare and present insights, scenarios, and business impact assessments to senior leadership and stakeholders.
• Facilitate alignment between business objectives and technical solution design.

Innovation and Research:

• Stay abreast of the latest developments in Operations Research, Machine Learning, Optimization, and Generative AI.
• Explore emerging methodologies, algorithms, and tools to improve operational performance and decision quality.
• Contribute to the innovation pipeline by proposing and piloting new optimization and AI solutions.

Team Development and Mentoring:

• Mentor junior data scientists, providing guidance and support in their professional development.
• Foster a collaborative team environment that encourages knowledge sharing and professional growth.

Who Are We Looking For?

We're looking for a passionate and innovative Mid/Senior Data Scientist who enjoys solving complex operational and business problems through advanced analytics, optimization, and AI technologies.

Required Qualifications

• Minimum of 2 years of experience (retail, e-commerce, supply chain, logistics, manufacturing, or operations preferred) in Data Science, Operations Research, Analytics, or Optimization-related roles.
• Strong proficiency in Python.
• Strong understanding of mathematical optimization techniques including Linear Programming, Mixed Integer Programming, Constraint Programming, and Heuristic Optimization approaches.
• Experience with optimization frameworks such as OR-Tools, Gurobi, CPLEX, Pyomo, PuLP, or similar technologies.
• Experience developing simulation or optimization solutions for operational decision-making problems.
• Strong understanding of Large Language Models (LLMs), RAG architectures, Agentic AI systems, and their practical business applications.
• Experience deploying batch and API-based analytical solutions in production environments.
• Experience with cloud platforms such as Google Cloud, AWS, or Azure.
• Knowledge of data engineering concepts and experience working with large-scale datasets.
• Strong SQL skills and familiarity with distributed processing technologies such as Spark.
• Strong knowledge of model evaluation methodologies, optimization KPIs, and business impact measurement.
• Familiarity with MLOps, model monitoring, and performance tracking concepts.
• Excellent analytical, problem-solving, and organizational skills.
• Strong presentation, communication, and stakeholder management skills.
• Ability to explain complex optimization and AI concepts to non-technical audiences.

Preferred Qualifications

• Experience with logistics, transportation, warehouse optimization, workforce planning, demand forecasting, inventory optimization, or supply chain analytics.
• Experience developing decision intelligence platforms or optimization-based recommendation systems.
• Experience integrating optimization engines with machine learning and Generative AI solutions.
• Familiarity with simulation methodologies such as Monte Carlo Simulation or Discrete Event Simulation.

What's Waiting for You:

• Hybrid Work Option: At our modern office in Giyimkent, Istanbul.
• A team culture focused on collaboration and inclusivity.
• The chance to work with cutting-edge technology and tools.
• Ongoing training and professional development opportunities.
• Discounts on LC Waikiki products and much more!

Join Us!

We're excited to meet software developers who want to leave their mark in the digital world while helping us achieve our big goals. If this opportunity excites you, become part of our digital transformation journey!

At LC Waikiki, we are committed to considering our environmental and social impacts throughout our value chain and to developing and maintaining a business model that is respectful of human rights, ethical, responsible, and sustainable.

The individual in this role is expected to prioritize resource efficiency, the use of sustainable materials, responsible production and procurement practices, human rights, decent working conditions, and ethical business principles - alongside balancing cost, quality, and speed, in all decisions and practices within their scope of responsibility and influence. Furthermore, they are expected to contribute to the identification, management, and monitoring of relevant sustainability impacts, risks, and opportunities.